Shulph Ink
Data Science: Theory, Analysis and Applications
Data Science: Theory, Analysis and Applications
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- More about Data Science: Theory, Analysis and Applications
This book provides a comprehensive collection of scientific research methods, technologies, and applications in data science, covering theory, concepts, techniques, algorithms, data design, analysis, and applications. It is useful for researchers, professors, research students, and practitioners.
Format: Paperback / softback
Length: 344 pages
Publication date: 13 December 2021
Publisher: Taylor & Francis Ltd
The aim of this comprehensive book is to present a highly respected compilation of scientific research methods, technologies, and applications in the field of data science. It serves as a valuable resource for researchers, professors, research students, and practitioners, as it encompasses novel research on challenging topics within the realm of data science.
The book is organized into three parts:
Part I: Data Science: Theory, Concepts, and Algorithms
This section includes five chapters that delve into the theoretical foundations, concepts, techniques, and algorithms of data science. These chapters provide a solid foundation for understanding the core principles and methodologies employed in this field.
Part II: Data Design and Analysis
This part comprises five chapters that focus on data design and analysis. These chapters explore the processes and methodologies involved in collecting, organizing, and analyzing data to extract meaningful insights and make informed decisions.
Part III: Applications and New Trends in Data Science
This section comprises four chapters that explore the diverse applications and emerging trends in data science. These chapters showcase real-world examples and case studies of how data science is being applied in various industries, such as healthcare, finance, marketing, and more.
By presenting a diverse range of research and applications, this book aims to serve as a valuable guide for scholars, researchers, and practitioners seeking to advance their knowledge and expertise in data science. Its comprehensive coverage and practical insights make it an essential resource for anyone interested in this rapidly evolving field.
Weight: 534g
Dimension: 155 x 236 x 25 (mm)
ISBN-13: 9781032240244
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